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@PhilippHa3
Description
Setup:
plotly==5.18.0
Bug:
When adding two go.Histogram2dContour to a subplot, the colorscale is not normalized, when using a shared coloraxis and setting coloring='fill'.
It works when setting coloring='heatmap'.
Dataframes used:
df_a = pd.DataFrame({
'a':[0,0,1,1],
'b':[0,1,0,1],
'c':[0,1,2,3],
})
df_b = pd.DataFrame({
'a':[0,0,1,1],
'b':[0,1,0,1],
'c':[10,20,30,40],
})
Example coloring='fill':
histogram2dContour_fill
Example coloring='heatmap':
histogram2dContour_heatmap
Code:
fig = make_subplots(rows=1,cols=2)
fig.add_trace(
go.Histogram2dContour(
x=df_a['a'].to_list(),
y=df_a['b'].to_list(),
z=df_a['c'].to_list(),
# contours=dict(coloring="heatmap"),
contours=dict(coloring="fill"),
coloraxis="coloraxis",
showscale=True,
showlegend=False,
histfunc='max',
),
row=1,
col=1
)
fig.add_trace(
go.Histogram2dContour(
x=df_b['a'].to_list(),
y=df_b['b'].to_list(),
z=df_b['c'].to_list(),
# contours=dict(coloring="heatmap"),
contours=dict(coloring="fill"),
coloraxis="coloraxis",
showscale=True,
showlegend=False,
histfunc='max',
),
row=1,
col=2
)
fig.show()